Machine Learning Algorithms Based Non Alcoholic Fatty Liver Disease Prediction

The early stage liver diseases prediction is an important health related research and using this kind of easily can predict the take remedies. are classified into different types such as cancer, tumor, fatty liver, hepatitis, cirrhosis etc. Non-Alcoholic Fatty Liver Disease a chronic disease which rigorous quite difficult at stages. plays significant role in treating also constraining next consequences. This paper presents Machine Learning Algorithms based Non Alcoholic (NAFLD) prediction. main objective project to identify potential factors causing NAFLD by algorithms like Decision Tree (DT) classifier, Support Vector (SVM) Random Forest (RF) Logistic regression (LR). Accuracy used parameter for performance analysis evaluation. findings show that random forest model accurately predicts non-alcoholic patient.